Activities in the AI field
For each employee, we establish a personalized baseline based on sleep, sleep regularity, activity, mood, heart rate variability, and other indicators. Based on this, we develop AI for pattern recognition and for the corresponding intervention: targeted alerts and referrals to a psychologist or coach.
Contribution to AIC4NL
We bring practical experience in building AI on complex health data. Our focus is on data quality, representation, and governance: transforming noisy, heterogeneous signals into reliable input for ML, while preserving privacy. We contribute a data-first perspective to responsible AI.
Why AIC4NL?
We apply pattern recognition to employee health data. In this context, the legal and ethical considerations are more significant than the technical aspects. We want to contribute our ideas and expertise in this area within the Health and Care sector.
